// train multinomial logistic regression

    val lr = new LogisticRegressionWithLBFGS()

      .setIntercept(true)

      .setNumClasses(numClasses)

    lr.optimizer.setRegParam(0.0)

      .setNumIterations(numIterations)

    val lrModel = lr.run(data.rdd.map(OldLabeledPoint.fromML))

https://liuxiaofei.com.cn/blog/multiple-layer-perceptron-classifier%E5%A4%9A%E5%B1%82%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%88%86%E7%B1%BB-ml/#more-498